Chemometric Analysis of 2D Fluorescence Spectra for Monitoring and Modeling of Fermentation Processes
2006
Kang, T.H. (Chonnam National University, Gwangju, Republic of Korea) | Sohn,O.J. (Chonnam National University, Gwangju, Republic of Korea) | Kim, C.K. (Chonnam National University, Gwangju, Republic of Korea) | Chung, S.W. (Chonnam National University, Gwangju, Republic of Korea) | Rhee, J.I. (Chonnam National University, Gwangju, Republic of Korea), E-mail: jirhee@chonnam.ac.kr
2D spectrofluorometer produces many spectral data during fermentation processes. The fluorescence spectra are analyzed using chemometric methods such as principal component analysis (PCA), principal component regression (PCR) and partial least square regression (PLS). Analysis of the spectral data by PCA results in scores and loadings that are visualized in score-loading plots and used to monitor a few fermentation processes by S. cerevisae and recombinant E. coli.
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